*Campaign Finance Scandals are associated with Congressional Incumbent Two-party Vote Share, 2006-2018.
*Table 7, AJPS Wood & Grose

*Use dataset entitled "Table 7 AJPS Wood Grose House Incumbent Vote Share 2006 to 2018.dta"

* We report 2 tailed tests for audited*south; all else one-tailed tests based on predictions in text.  
reg incum_vote cfscandal prezparty incum_prevvote if openseat==0&uncontested==0, robust cluster(stcd)
reg incum_vote cfscandal otherscandal_notcf prezparty incum_prevvote if openseat==0&uncontested==0, robust cluster(stcd)

*Codebook for data in "Table 7 AJPS Wood Grose House Incumbent Vote Share 2006 to 2018:
*year = Year of election (2006 to 2018)
*stcd = Numeric code for state and congressional district (repeats over time). First part indicates state and second party indicates congressional district.
*state = Postal code for each state
*cd = Congressional district number
*cfscandal = 1 if legislator accused of campaign finance scandal prior to election; 0 if not. Source: Govtrack.us, https://www.govtrack.us/misconduct
*openseat = 1 if district is open seat; 0 if not. Source: Data from Gary Jacobson.
*uncontested  = 1 if district is not contested in election; 0 if contested. Source:  Data from Gary Jacobson.
*prezparty  = % of the vote received by presidential candidate of incumbent's party in most recent presidential election. Source: Data from Gary Jacobson, and rescaled to match incumbent House member party.
*incum_vote  = % of the vote received by House incumbent in election that year. Source: Data from Gary Jacobson.
*incum_prevvote  = % of the vote received by House incumbent in previous election. Source: Data from Gary Jacobson.
*otherscandal_notcf = 1 if legislator accused of other non-campaign finance scandal prior to election; 0 if not. Source: Govtrack.us, https://www.govtrack.us/misconduct

